Agentic AI Developer

Job Description

Job Description

About Client:
Client is a multinational technology and consulting company known for its expertise in providing IT services and solutions. With a global presence, it offers a wide range of services including digital transformation, application development, infrastructure management, and business process outsourcing. The company has a strong focus on innovation, leveraging emerging technologies such as artificial intelligence, cloud computing, and data analytics to drive client success. Client is committed to delivering high-quality results and ensuring customer satisfaction through its team of skilled professionals and robust project management methodologies.

Rate: $85.71/Hr

Job Description:

• Implement agents and sub-agents (planner, executor, critic, router) using Claude Agent SDK / Lang Graph
• Build tools and MCP integrations, design clean tool schemas, idempotent operations, and robust error handling.
• Implement RAG pipelines: ingestion, chunking, embedding (Bedrock Titan), hybrid retrieval, citation rendering.
• Develop Fast API/Python services exposing agent capabilities (sync streaming); integrate with SQL (Postgres) and object stores (S3).
• Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and trace/observe agent runs.
• Implement guardrails: input/output validation, schema enforcement, rate limiting, prompt-injection defenses.
• Participate in code reviews, pairing, and architecture discussions; own quality of the code you ship.
• Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent.
• Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen).
• Practical experience with LLM tool/function calling, structured outputs, streaming.
• RAG implementation experience (pgvector / FAISS / OpenSearch).
• Git, CI/CD, containerization (Docker), and cloud basics (AWS preferred).

Roles/Responsibilities:

• Implement single-agent and multi-agent systems using frameworks such as LangChain, Semantic Kernel, CrewAI, AutoGen, or similar
• Build applications using LLMs (Azure OpenAI, OpenAI, Anthropic, etc.)
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Enable agents to coordinate and collaborate in multi-agent ecosystems
• Build secure, scalable APIs and microservices to support AI agents
• Develop evaluation frameworks for agent performance (accuracy, hallucination detection, response quality)
• Monitor system behavior and continuously improve reliability
• Optimize performance for latency, cost, and scalability
• Years of Experience: 8 Years of Experience

Required Qualifications:

• 3 8 years of experience in software development or data engineering
• Hands-on experience in Generative AI or LLM-based applications
• Experience building APIs, microservices, or distributed systems
• Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field

Required Qualifications:

• 3 8 years of experience in software development or data engineering
• Hands-on experience in Generative AI or LLM-based applications
• Experience building APIs, microservices, or distributed systems
• Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or related field

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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